Data Analyst

Hymans Robertson

Glasgow, Scotland

23 months ago

Applications closed

Related Jobs

View all jobs

Data Analyst

Rise Technical Recruitment London, United Kingdom

£43,000 – £43,200 pa Contract

Data Analyst

Greencore Osberton, Nottinghamshire, United Kingdom

On-site

Data Analyst

Travail Employment Group Wellingborough, NN8 1AF, United Kingdom

Data Analyst Business System Analyst

Randstad Technologies Recruitment London, City And County Of the City Of London, United Kingdom

£60,000 – £70,000 pa Hybrid

Data Analyst/Manager

Coulter Elite Resourcing Peterborough, PE1 1XH, United Kingdom

Data Analyst (Power BI SQL Azure | Data Transformation)

Avanti Recruitment East Barnet, London, EN4 8TB, United Kingdom

£65,000 pa Hybrid

Posted: 28 Jun 2024 (23 months ago)

Save job

Create job alert

Applications closed

The Vacancy

You will be part of the Data Journey team within our Third-Party Administration area where you will be able to display your abilities as a data enthusiast as we tackle our ambition of building a modern data platform, while serving our current customer needs.

The role will focus on the modernisation and continuous improvement of data analysis, transformation, and visualisation within this business area.

You will identify, investigate, and resolve data issues, discrepancies, and risks within new or existing datasets to ensure the datasets are complete and consistent for downstream usage. You will identify requirements and develop reports and extracts for key stakeholders both in on premise and cloud-hosted data stores. You will work as part of the Data Engineering team to analyse and develop robust data models and pipelines to support analytics, reporting and visualisations from our Data Lakehouse. You will work alongside technical and non-technical teams, understanding the user requirements and will bridge the gap between the different stakeholders. You will keep abreast of the latest developments in data tooling, promoting best practice and guidance to the wider business.

About You

You will be comfortable working as part of a team, as well as having the initiative to explore solutions on your own. In our growing data team, you will have the opportunity to build robust data and reporting solutions that can be accessed using technologies suited for the specified audience.

To succeed and enjoy this role, you will either be working with working with SQL databases such as Microsoft SQL Server, either on premise or cloud hosted, and excited about building your expertise with Azure-hosted data platforms.

To be successful in this role, you will be:

Comfortable working with large volumes of data, both time series and numeric data Experienced in the following data technologies: SQL database technologies utilising both on-premise, and cloud data platforms. Scripting, extracting, creating, and modifying data. Knowledge and understanding of SQL Objects using Stored Procedures, Views, and Functions Meticulous in your approach and can pinpoint and remedy data and reporting discrepancies from source data through to reporting. Confident in engaging constructively in a multi-disciplined team environment. Self-motivated with a drive to learn and share knowledge. An effective communicator and an effective team player. Able to forge strong and professional relationships.

Desirable:

Domain knowledge of the pensions industry would be beneficial but most important is a passion to learn. Experience or familiarity with some of the following: Coding in R, Python, or other data modelling/analysis technologies PowerBI for reporting and visualisations Data modelling for downstream extraction or consumption Data Lakes for data storage, including formats such as parquet/delta or similar technologies. Data cleansing, manipulation, and analysis of large datasets Familiarity with continuous integration, continuous delivery, agile methodologies, and Azure DevOps.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Apr 9, 2026

Products

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Where to advertise data science jobs UK in 2026: the specialist boards, communities and channels that actually reach senior and lead data science talent. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Apr 5, 2026

Jobs

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data Science Jobs UK 2026: roles, salaries and the trends shaping UK data science hiring over the next three years — from MLE crossover to GenAI workflows. Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

Mar 24, 2026

Jobs

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

New Data Science Employers to Watch in 2026: a UK and international shortlist of analytics and AI companies hiring data scientists, ML engineers and analysts. Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.